Semester:
Fall of every year
Credits:
Total Credits: 4 Lecture/Recitation/Discussion Hours: 4
Prerequisite:
CMSE 201 or CSE 231
Description:
Continuation of introduction to computational modeling focusing on standard methods and tools used for modeling and data analysis. Topics may include statistical analysis, symbolic math, linear algebra, simulation techniques, data mining.
Semester:
Fall of every year, Spring of every year
Credits:
Total Credits: 4 Lecture/Recitation/Discussion Hours: 4
Description:
Continuation of introduction to computational modeling focusing on standard methods and tools used for modeling and data analysis. Topics may include statistical analysis, symbolic math, linear algebra, simulation techniques, data mining.
Semester:
Fall of every year, Spring of every year
Credits:
Total Credits: 4 Lecture/Recitation/Discussion Hours: 4
Description:
Continuation of introduction to computational modeling focusing on standard methods and tools used for modeling and data analysis. Topics may include statistical analysis, symbolic math, linear algebra, simulation techniques, data mining.
Semester:
Fall of every year, Spring of every year
Credits:
Total Credits: 4 Lecture/Recitation/Discussion Hours: 4
Description:
Standard methods and tools for computational modeling and data analysis using simulation techniques, data mining, and machine learning.